All Publications



DalíMetamorphosis of Narcissus

Patents

  1. Turney, P.D. (2006), Method and apparatus for automatically identifying keywords within a document, Canadian Patent 2,236,623.

  2. Turney, P.D. (2002), Method and apparatus for automatically identifying keywords within a document, United States Patent 6,470,307.

Journals

  1. Turney, P.D., and Mohammad, S.M. (2014), Experiments with three approaches to recognizing lexical entailment, Natural Language Engineering, in press.

  2. Zhu, X., Turney, P.D., Lemire, D., and Vellino, A. (2014), Measuring academic influence: Not all citations are equal, Journal of the Association for Information Science and Technology (JASIST), in press.

  3. Turney, P.D. (2013), Distributional semantics beyond words: Supervised learning of analogy and paraphrase, Transactions of the Association for Computational Linguistics (TACL), 1, 353-366.

  4. Mohammad, S.M., and Turney, P.D. (2013), Crowdsourcing a word-emotion association lexicon, Computational Intelligence, 29 (3), 436-465.

  5. Mohammad, S.M., Dorr, B.J., Hirst, G., and Turney, P.D. (2013), Computing lexical contrast, Computational Linguistics, 39 (3), 555-590.

  6. Turney, P.D. (2012), Domain and function: A dual-space model of semantic relations and compositions, Journal of Artificial Intelligence Research (JAIR), 44, 533-585.

  7. Neuman, Y., Turney, P.D., and Cohen, Y. (2012), How language enables abstraction: A study in computational cultural psychology, Integrative Psychological and Behavioral Science, 46 (2), 129-145.

  8. Turney, P.D. (2011), Analogy perception applied to seven tests of word comprehension, Journal of Experimental and Theoretical Artificial Intelligence, 23 (3), 343-362.

  9. Turney, P.D., and Pantel, P. (2010), From frequency to meaning: Vector space models of semantics, Journal of Artificial Intelligence Research (JAIR), 37, 141-188.

  10. Girju, R., Nakov, P., Nastase, V., Szpakowicz, S., Turney, P., and Yuret, D. (2009), Classification of semantic relations between nominals, Language Resources and Evaluation, 43 (2), 105-121.

  11. Turney, P.D. (2008), The latent relation mapping engine: Algorithm and experiments, Journal of Artificial Intelligence Research (JAIR), 33, 615-655.

  12. Turney, P.D. (2006), Similarity of semantic relations, Computational Linguistics, 32 (3), 379-416.

  13. Ewaschuk, R., and Turney, P. (2006), Self-replication and self-assembly for manufacturing, Artificial Life, 12, 411-433.

  14. Turney, P.D., and Littman, M.L. (2005), Corpus-based learning of analogies and semantic relations, Machine Learning, 60 (1-3), 251-278.

  15. Turney, P.D., and Littman, M.L. (2003), Measuring praise and criticism: Inference of semantic orientation from association, ACM Transactions on Information Systems (TOIS), 21 (4), 315-346.

  16. Smith, A., Turney, P., and Ewaschuk, R. (2003), Self-replicating machines in continuous space with virtual physics, Artificial Life, 9, 21-40.

  17. Turney, P.D. (2001), Answering subcognitive Turing Test questions: A reply to French, Journal of Experimental and Theoretical Artificial Intelligence, 13 (4), 409-419.

  18. Turney, P.D. (2000), Learning algorithms for keyphrase extraction, Information Retrieval, 2 (4), 303-336.

  19. Turney, P.D. (2000), A simple model of unbounded evolutionary versatility as a largest-scale trend in organismal evolution, Artificial Life, 6, 109-128.

  20. Lavrac, N., Gamberger, D, and Turney, P.D. (1998), A relevancy filter for constructive induction. IEEE Intelligent Systems, 13 (2), 50-56.
  21. Turney, P.D. (1996), How to shift bias: Lessons from the Baldwin effect, Evolutionary Computation, 4 (3), 271-295.

  22. Turney, P.D., Whitley, D., and Anderson, R.W. (1996), Evolution, learning, and instinct: 100 years of the Baldwin effect, Evolutionary Computation, 4 (3), iv-viii

  23. Turney, P.D. (1995), Technical note: Bias and the quantification of stability, Machine Learning, 20, October, 23-33.

  24. Turney, P.D. (1995), Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm, Journal of Artificial Intelligence Research, 2, March, 369-409.

  25. Turney, P.D. (1994), A theory of cross-validation error, Journal of Experimental and Theoretical Artificial Intelligence, 6, November, 361-391.

  26. Turney, P.D. (1994), Theoretical analyses of cross-validation error and voting in instance-based learning, Journal of Experimental and Theoretical Artificial Intelligence, 6, November, pp. 331-360.

  27. Turney, P.D. and Halasz, M. (1993), Contextual normalization applied to aircraft gas turbine engine diagnosis, Journal of Applied Intelligence, 3, July, pp. 109-129.

  28. Famili, A. and Turney, P.D. (1991), Intelligently helping the human planner in industrial process planning, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 5 (2), December, pp. 109-124.

  29. Turney, P.D. (1991), The gap between abstract and concrete results in machine learning, Journal of Experimental and Theoretical Artificial Intelligence, 3, November, pp. 179-190.

  30. Turney, P.D. (1991), A note on Popper's equation of simplicity with falsifiability, British Journal for the Philosophy of Science, 42 (1), March, pp. 105-109.

  31. Turney, P.D. (1990), The curve fitting problem: A solution, British Journal for the Philosophy of Science, 41 (4), December, pp. 509-530.

  32. Turney, P.D. (1990), Problems with complexity in Gold's paradigm of induction: I: Dynamic complexity, International Journal of General Systems, 17 (4), November, pp. 329-342.

  33. Turney, P.D. (1990), Problems with complexity in Gold's paradigm of induction: II: Static complexity, International Journal of General Systems, 17 (4), November, pp. 343-358.

  34. Turney, P.D. (1990), Embeddability, syntax, and semantics in accounts of scientific theories, Journal of Philosophical Logic, 19 (4), November, pp. 429-451.

  35. Turney, P.D. (1989), The architecture of complexity: A new blueprint, Synthese, 79 (3), June, pp. 515-542.

  36. Turney, P.D. (1986), Laws of form and finite automata, International Journal of General Systems, 12 (4), September, pp. 307-318.
  37. Turney, P.D. (1984), Unfolding the tesseract, Journal of Recreational Mathematics, 17 (1), November, pp. 1-16.

Conferences

  1. Jurgens, D.A., Mohammad, S.M., Turney, P.D., and Holyoak, K.J. (2012), SemEval-2012 Task 2: Measuring degrees of relational similarity, First Joint Conference on Lexical and Computational Semantics (*SEM), Montreal, Canada, June 2012, pp. 356–364.

  2. Turney, P.D., Neuman, Y., Assaf, D., and Cohen, Y. (2011), Literal and metaphorical sense identification through concrete and abstract context, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP-2011), Edinburgh, Scotland, UK, July 2011, pp. 680-690.

  3. Mohammad, S.M., and Turney, P.D. (2010), Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon, Proceedings of the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, June 2010, LA, California, 26-34.

  4. Turney, P.D. (2008), A uniform approach to analogies, synonyms, antonyms, and associations, Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), Manchester, UK, pp. 905-912.

  5. Girju, R., Nakov, P., Nastase, V., Szpakowicz, S., Turney, P., and Yuret, D. (2007), SemEval-2007 Task 04: Classification of semantic relations between nominals, Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval 2007), Prague, Czech Republic, pp. 13-18.

  6. Turney, P.D. (2006), Expressing implicit semantic relations without supervision, Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (Coling/ACL-06), Sydney, Australia, pp. 313-320.

  7. Nadeau, D., Turney, P.D., and Matwin, S. (2006), Unsupervised named-entity recognition: Generating gazetteers and resolving ambiguity, Proceedings of the 19th Canadian Conference on Artificial Intelligence (CAI-06), Quebec City, Canada, pp. 266-277.

  8. Nadeau, D., Sabourin, C., De Koninck, J., Matwin, S., Turney, P.D. (2006), Automatic dream sentiment analysis, Proceedings of the Workshop on Computational Aesthetics at the Twenty-First National Conference on Artificial Intelligence (AAAI-06), Boston, USA

  9. Turney, P.D. (2005), Measuring semantic similarity by latent relational analysis, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, Scotland, pp. 1136-1141.

  10. Nadeau, D., and Turney, P.D. (2005), A supervised learning approach to acronym identification, Proceedings of the Eighteenth Canadian Conference on Artificial Intelligence (AI-05), Victoria, Canada, pp. 319-329.

  11. Turney, P.D. (2004), Word sense disambiguation by Web mining for word co-occurrence probabilities, Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SENSEVAL-3), Barcelona, Spain, pp. 239-242.

  12. Turney, P.D., Littman, M.L., Bigham, J., and Shnayder, V. (2003), Combining independent modules to solve multiple-choice synonym and analogy problems, Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-03), Borovets, Bulgaria, pp. 482-489.

  13. Turney, P.D. (2003), Coherent keyphrase extraction via Web mining, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, pp. 434-439.

  14. Turney, P.D. (2002), Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews, Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL'02), Philadelphia, Pennsylvania, pp. 417-424.

  15. Turney, P.D. (2001), Mining the Web for synonyms: PMI-IR versus LSA on TOEFL, Proceedings of the Twelfth European Conference on Machine Learning (ECML-2001), Freiburg, Germany, pp. 491-502. 

  16. Turney, P.D. (2000), Types of cost in inductive concept learning, Workshop on Cost-Sensitive Learning at the Seventeenth International Conference on Machine Learning (WCSL at ICML-2000), Stanford University, California.

  17. Turney, P.D. (1999), Increasing evolvability considered as a large-scale trend in evolution, Proceedings of the 1999 Genetic and Evolutionary Computation Conference (GECCO-99) Workshop Program, pp. 43-46.

  18. Lavrac, N., Gamberger, D., and Turney, P.D. (1996), Preprocessing by a cost-sensitive literal reduction algorithm:REDUCE, Learning, Networks and Statistics: Proceedings of the 1996 Workshop of the International School for the Synthesis of Expert Knowledge (ISSEK 96), edited by G. Della Riccia, H.-J. Lenz, and R. Kruse, Springer, pp. 179-196.

  19. Lavrac, N., Gamberger, D., and Turney, P.D. (1996), Cost-sensitive feature reduction applied to a hybrid genetic algorithm, Proceedings of the Seventh International Workshop on Algorithmic Learning Theory (ALT96), Sydney, Australia, October, pp. 127-134.
  20. Turney, P.D. (1996), Myths and legends of the Baldwin effect, 13th International Conference on Machine Learning (ICML96), Workshop on Evolutionary Computation and Machine Learning, Bari, Italy, July, pp. 135-142.

  21. Turney, P.D. (1996), The management of context-sensitive features: A review of strategies, 13th International Conference on Machine Learning (ICML96), Workshop on Learning in Context-Sensitive Domains, Bari, Italy, July, pp. 60-66.

  22. Turney, P.D. (1996), The identification of context-sensitive features: A formal definition of context for concept learning, 13th International Conference on Machine Learning (ICML96), Workshop on Learning in Context-Sensitive Domains, Bari, Italy, July, pp. 53-59.

  23. Turney, P.D. (1995), Low size-complexity inductive logic programming: The East-West Challenge considered as a problem in cost-sensitive classification, Proceedings of the Fifth International Inductive Logic Programming Workshop (ILP95), Leuven, Belgium, September, pp. 247-263.

  24. Turney, P.D. (1995), Data engineering for the analysis of semiconductor manufacturing data, Proceedings of the IJCAI-95 Workshop on Data Engineering for Inductive Learning, Montreal, Quebec, August, pp. 50-59.

  25. Turney, P.D. (1993), Robust classification with context-sensitive features, Proceedings of the Sixth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Edinburgh, Scotland, June, pp. 268-276.

  26. Turney, P.D. (1993), Exploiting context when learning to classify, Proceedings of the European Conference on Machine Learning, Vienna, Austria, April, pp. 402-407.

  27. Turney, P.D. and Famili, A. (1992), Analysis of induced decision trees for industrial process optimization, Proceedings of the 6th International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden, Germany, August, pp. 19-24. 

  28. Famili, A. and Turney, P.D. (1992), An intelligent supervisory system for process optimization and knowledge refinement of an industrial process, Proceedings of the SIGMAN Workshop on Knowledge-Based Production Planning, Scheduling and Control, San Jose, California, July.

  29. Turney, P.D. and Famili, A. (1990), An application of machine learning to industrial process planning, Proceedings of the Canadian Conference on Electrical and Computer Engineering, Ottawa, Ontario, September, pp. 14.3.1-14.3.4.

  30. Famili, A. and Turney, P.D. (1990), Learning from unsuccessful plans in industrial process planning, Proceedings of the SIGMAN Workshop on Intelligent Manufacturing Architectures, Boston, Massachusetts, August, pp. 25-29.

Book Chapters

  1. Turney, P.D., Littman, M.L., Bigham, J., and Shnayder, V. (2004), Combining independent modules in lexical multiple-choice problems, Recent Advances in Natural Language Processing III: Selected Papers from RANLP 2003, Eds: N. Nicolov, K. Botcheva, G. Angelova, and R. Mitkov, Current Issues in Linguistic Theory (CILT), 260, John Benjamins, pp. 101-110.

  2. Lavrac, N., Gamberger, D., and Turney, P.D. (1998), A relevancy filter for constructive induction, in Feature Extraction, Construction, and Selection: A Data Mining Perspective, edited by H. Liu and H. Motoda, Kluwer Academic Publishers, pp. 137-154.
  3. Turney, P.D. (1996), Low size-complexity inductive logic programming: The East-West Challenge considered as a problem in cost-sensitive classification, in Advances in Inductive Logic Programming, edited by L. De Raedt, IOS Press, Burke, VA, March, pp. 308-321.

  4. Famili, A. and Turney, P.D. (1992), Application of machine learning to industrial planning and decision making, in Artificial Intelligence Applications in Manufacturing, edited by A. Famili, S. Kim, and D. Nau, MIT Press, Cambridge, MA, June, pp. 1-16.

Technical Reports

  1. Mohammad, S.M., and Turney, P.D. (2013), NRC Emotion Lexicon, National Research Council of Canada, Technical Report.

  2. Turney, P.D. (2007), Empirical Evaluation of Four Tensor Decomposition Algorithms, National Research Council, Institute for Information Technology, Technical Report ERB-1152.

  3. Ewaschuk, R., and Turney, P. (2005), Self-Replicating Strands that Self-Assemble into User-Specified Meshes, National Research Council, Institute for Information Technology, Technical Report ERB-1121.

  4. Turney, P.D. (2004), Human-Level Performance on Word Analogy Questions by Latent Relational Analysis, National Research Council, Institute for Information Technology, Technical Report ERB-1118.

  5. Turney, P.D., and Littman, M.L. (2003), Learning Analogies and Semantic Relations, National Research Council, Institute for Information Technology, Technical Report ERB-1103.

  6. Smith, A., Turney, P., and Ewaschuk, R. (2002), JohnnyVon: Self-Replicating Automata in Continuous Two-Dimensional Space, National Research Council, Institute for Information Technology, Technical Report ERB-1099.

  7. Turney, P.D. (2002), Mining the Web for Lexical Knowledge to Improve Keyphrase Extraction:Learning from Labeled and Unlabeled Data, National Research Council, Institute for Information Technology, Technical Report ERB-1096.

  8. Turney, P.D., and Littman, M.L. (2002), Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus, National Research Council, Institute for Information Technology, Technical Report ERB-1094.

  9. Turney, P.D. (1999), Learning to Extract Keyphrases from Text, National Research Council, Institute for Information Technology, Technical Report ERB-1057.

  10. Turney, P.D. (1997), Extraction of Keyphrases from Text: Evaluation of Four Algorithms, National Research Council, Institute for Information Technology, Technical Report ERB-1051.

Thesis

  1. Turney, P.D. (1988), Inductive Inference and Stability, Doctoral Dissertation, Department of Philosophy, University of Toronto.

Magazines

  1. Turney, P.D. (1996), Machine learning at the National Research Council's Institute for Information Technology, Canadian Artificial Intelligence, 38, March, pp. 21-24.

  2. Turney, P.D. (1995), Artificial intelligence and the World Wide Web, Canadian Artificial Intelligence, 36, March, pp. 4-6.

  3. Turney, P.D. (1994), NSERC controversy, Canadian Artificial Intelligence, 35, November, pp. 4-9.

  4. Turney, P.D. (1993), VARMINT: Canadian AI success story #2, Canadian Artificial Intelligence, 31, March, pp. 21-25.

  5. Turney, P.D. (1992), Pitch Expert: Canadian AI success story #1, Canadian Artificial Intelligence, 30, November, pp. 14-17.
  6. Turney, P.D. (1991), Controlling super-intelligent machines, Canadian Artificial Intelligence, 27, July, pp. 3, 4, 12, 35.

  7. Turney, P.D. and Famili, A. (1991), Research report: Machine learning applied to industrial process planning, Canadian Artificial Intelligence, 26, February, pp. 20-22.

  8. Famili, A. and Turney, P.D. (1990), Prototype provides intelligent planning for CIM, Computing Canada, 16 (15), July, p. 32.

  9. Famili, A. and Turney, P.D. (1990), The use of machine learning to improve the performance of industrial process planning, Engineering Digest, 36 (3), June, pp. 26-28.

  10. Famili, A. and Turney, P.D. (1990), How machine learning can improve the performance of industrial process planning, Automation Production Technology, 5 (4), June, p. 53.

  11. Turney, P.D. (1989), Debugging super-intelligent machines, Canadian Artificial Intelligence, 21, October, pp. 15-16.

Book Reviews

  1. Turney, P.D. (1993), Review of John Koza's Genetic Programming: On the Programming of Computers by Means of Natural Selection and Genetic Programming: The Movie, Canadian Artificial Intelligence, 32, August, pp. 30-31.

  2. Turney, P.D. (1993), Review of Robert Cummins's and John Pollock's Philosophy and AI: Essays at the Interface, Canadian Artificial Intelligence, 31, March, pp. 29-30.

  3. Turney, P.D. (1989), Review of Ajit Narayanan's On Being a Machine: Volume 1: Formal Aspects of Artificial Intelligence, Canadian Artificial Intelligence, 21, October, pp. 38-40.

  4. Turney, P.D. (1989), Review of Stephen Graubard's The Artificial Intelligence Debate: False Starts, Real Foundations, Canadian Artificial Intelligence, 20, July, pp. 34-35.

  5. Turney, P.D. (1986), Review of Arne Naess's A Sceptical Dialogue on Induction, Canadian Philosophical Reviews, VI (1), January, pp. 11-12.